compact view print

Accurate energy-efficient localization hybrid models for distributed IoT sensing

author
Jabberi, Maher
Sellami, Bassem
Hakiri, Akram
Alimi, Mohamed Adel
statement of authorship
Maher Jabberi, Bassem Sellami, Akram Hakiri, Mohamed Adel Alimi
source
2024 IEEE/ACS 21st International Conference on Computer Systems and Applications (AICCSA) : proceedings : Sousse, TN, 22 October-26 October 2024 (2024)
location of publication
Piscataway, New Jersey
publisher
IEEE
year of publication
2024
conference name, date
2024 IEEE/ACS 21st International Conference on Computer Systems and Applications, AICCSA 2024, 22-26 October 2024
conference location
Sousse
url
https://doi.org/10.1109/AICCSA63423.2024.10912590
subject term
lokaliseerimine
andurid
energiatõhusus
asjade internet
Scopus
Conference proceedings at Scopus
Article at Scopus
WOS
Article at WOS
quartile
Q3
category (general)
Tehnika
Arvutiteadus
category (sub)
Tehnika. Elektri- ja elektroonikatehnika
Arvutiteadus. Signaalitöötlus
Tehnika. Juhtimis- ja süsteemitehnika
Arvutiteadus. Arvutivõrgud ja side
Arvutiteadus. Arvutiteaduse rakendused
Arvutiteadus. Riistvara ja arhitektuur
keyword
accurate localization
distributed sensing
energy-efficiency
hybrid models
SSA-Gauss
SSAMarkov
ISSN
2161-5322
ISBN
979-833151824-0
notes
Bibliogr.: 28 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
inglise
Jabberi, M., Sellami, B., Hakiri, A., Alimi, M.A. Accurate energy-efficient localization hybrid models for distributed IoT sensing // 2024 IEEE/ACS 21st International Conference on Computer Systems and Applications (AICCSA) : proceedings : Sousse, TN, 22 October-26 October 2024 (2024). Piscataway, New Jersey : IEEE, 2024. https://doi.org/10.1109/AICCSA63423.2024.10912590